Evidence map›Paper›PMID 38682372›Full record

ReviewCurrent cardiology reviews2024

Cardiac Amyloidosis: A Contemporary Review of Medical and Surgical Therapy.

Drew Brownell, Aiswarya J Pillai, Nandini Nair

Abstract readReview
In one paragraph

Review in Current cardiology reviews, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Drew BrownellDivision of Cardiology, Department of Medicine, Texas Tech Health Science Center, Lubbock, TX 79430, USA.ORCID 0000-0001-7260-8806
Aiswarya J PillaiDivision of Cardiology, Department of Medicine, Texas Tech Health Science Center, Lubbock, TX 79430, USA.ORCID 0000-0003-4929-6538
Nandini NairDivision of Cardiology, Department of Medicine, Texas Tech Health Science Center, Lubbock, TX 79430, USA.ORCID 0000-0002-1243-4389

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Amyloidosis is a systemic disease initiated by deposition of misfolded proteins in the extracellular space, due to which multiple organs may be affected concomitantly. Cardiac amyloidosis, however, remains a major cause of morbidity and mortality in this population due to infiltrative /restrictive cardiomyopathy. This review attempts to focus on contemporary medical and surgical therapies for the different types of cardiac amyloidosis. Amyloidosis affecting the heart are predominantly of the transthyretin type (acquired in the older or genetic in the younger patients), and the monoclonal immunoglobulin light chain (AL) type which is solely acquired. A rare form of secondary amyloidosis AA type can also affect the heart due to excessive production and accumulation of the acute-phase protein called Serum Amyloid A" (SAA) in the setting of chronic inflammation, cancers or autoinflammatory disease. More commonly AA amyloidosis is seen in the liver and kidney. Other rare types are Apo A1 and Isolated Atrial Amyloidosis (AANF). Medical therapies have made important strides in the clinical management of the two common types of cardiac amyloidosis. Surgical therapies such as mechanical circulatory support and cardiac transplantation should be considered in appropriate patients. Future research using AI driven algorithms for early diagnosis and treatment as well as development of newer genetic engineering technologies will drive improvements in diagnosis, treatment and patient outcomes.

Indexed as

AmyloidosisCardiomyopathiesHeart TransplantationHumansATTRCardiac amyloidosiscardiac transplantationcardiomyopathy.mechanical circulatory support

Identifiers

PMID38682372
PMCPMC11107466

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.